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Parallel cartographic modeling: a methodology for parallelizing spatial data processing.

, , , , , , and . International Journal of Geographical Information Science, (2016)

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A multi-level approach for understanding I/O activity in HPC applications., , , and . CLUSTER, page 1-5. IEEE Computer Society, (2013)Dynamic Model-Driven Parallel I/O Performance Tuning., , , , and . CLUSTER, page 184-193. IEEE Computer Society, (2015)Parallel cartographic modeling: a methodology for parallelizing spatial data processing., , , , , , and . International Journal of Geographical Information Science, (2016)Taming parallel I/O complexity with auto-tuning., , , , , , , and . SC, page 68:1-68:12. ACM, (2013)Techniques for modeling large-scale HPC I/O workloads., , , , , , , , , and . PMBS@SC, page 5:1-5:11. ACM, (2015)Design of a Multithreaded Barnes-Hut Algorithm for Multicore Clusters., , and . IEEE Trans. Parallel Distrib. Syst., 26 (7): 1861-1873 (2015)A framework for auto-tuning HDF5 applications., , , , , , , and . HPDC, page 127-128. ACM, (2013)Optimizing the Barnes-Hut algorithm in UPC., , and . SC, page 75:1-75:11. ACM, (2011)Integrating CyberGIS gateway with Windows Azure: a case study on MODFLOW groundwater simulation., , , , and . GIS-HPDGIS, page 26-29. ACM, (2011)Optimizing I/O Performance of HPC Applications with Autotuning., , , and . TOPC, 5 (4): 15:1-15:27 (2019)